000			03677nam a22004455i 4500
001			978-0-387-29054-6
003			DE-He213
005			20250710083943.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387290546 _a99780387290546
024	7		_a10.1007/0-387-29054-0 _2doi
082	0	4	_a519.5 _223
100	1		_aLinden, Wim J. _eauthor.
245	1	0	_aLinear Models for Optimal Test Design _h[recurso electrónico] / _cby Wim J. Linden.
264		1	_aNew York, NY : _bSpringer New York, _c2005.
300			_aXXIV, 416 p. 44 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStatistics for Social and Behavioral Sciences
505	0		_aBrief History of Test Theory and Design -- Formulating Test Specifications -- Modeling Test-Assembly Problems -- Solving Test-Assembly Problems -- Models for Assembling Single Tests -- Models for Assembling Multiple Tests -- Models for Assembling Tests with Item Sets -- Models for Assembling Tests Measuring Multiple Abilities -- Models for Adaptive Test Assembly -- Designing Item Pools for Programs with Fixed Tests -- Designing Item Pools for Programs with Adaptive Tests -- Epilogue.
520			_aThis book begins with a reflection on the history of test design--the core activity of all educational and psychological testing. It then presents a standard language for modeling test design problems as instances of multi-objective constrained optimization. The main portion of the book discusses test design models for a large variety of problems from the daily practice of testing, and illustrates their use with the help of numerous empirical examples. The presentation includes models for the assembly of tests to an absolute or relative target for their information functions, classical test assembly, test equating problems, item matching, test splitting, simultaneous assembly of multiple tests, tests with item sets, multidimensional tests, and adaptive test assembly. Two separate chapters are devoted to the questions of how to design item banks for optimal support of programs with fixed and adaptive tests. Linear Models for Optimal Test Design, which does not require any specific mathematical background, has been written to be a helpful resource on the desk of any test specialist. Wim J. van der Linden is Professor of Measurement and Data Analysis, University of Twente, The Netherlands. His specialization is psychometric theory and methods, and he has been an active researcher of item response theory throughout his career. His current research is on test design, adaptive testing, test equating, and response-time modeling. Professor van der Linden is a past president of the Psychometric Society and a recipient of the NCME lifetime achievement award for his work on educational measurement.
650		0	_aSTATISTICS.
650		0	_aEDUCATIONAL TESTS AND MEASUREMENTS.
650		0	_aPSYCHOMETRICS.
650	1	4	_aSTATISTICS.
650	2	4	_aSTATISTICS FOR SOCIAL SCIENCE, BEHAVORIAL SCIENCE, EDUCATION, PUBLIC POLICY, AND LAW.
650	2	4	_aASSESSMENT, TESTING AND EVALUATION.
650	2	4	_aPSYCHOMETRICS.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387202723
830		0	_aStatistics for Social and Behavioral Sciences
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-29054-0 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c56910 _d56910